Jayakumar Sivalingam

618 total citations
53 papers, 464 citations indexed

About

Jayakumar Sivalingam is a scholar working on Genetics, Cancer Research and Animal Science and Zoology. According to data from OpenAlex, Jayakumar Sivalingam has authored 53 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Genetics, 15 papers in Cancer Research and 12 papers in Animal Science and Zoology. Recurrent topics in Jayakumar Sivalingam's work include Genetic and phenotypic traits in livestock (31 papers), Cancer-related molecular mechanisms research (15 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Jayakumar Sivalingam is often cited by papers focused on Genetic and phenotypic traits in livestock (31 papers), Cancer-related molecular mechanisms research (15 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). Jayakumar Sivalingam collaborates with scholars based in India and Czechia. Jayakumar Sivalingam's co-authors include S. P. Dixit, S. K. Niranjan, Anurodh Sharma, Ajay Kumar Dang, Sanjeev Singh, Indrajit Ganguly, M. S. Tantia, I. D. Gupta, Soumya Dash and Archana Verma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Gene.

In The Last Decade

Jayakumar Sivalingam

46 papers receiving 453 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jayakumar Sivalingam India 14 371 137 96 77 64 53 464
Eva M. Strucken Australia 15 441 1.2× 176 1.3× 99 1.0× 95 1.2× 62 1.0× 28 521
Patrick Monametsi Kgwatalala Botswana 11 249 0.7× 133 1.0× 50 0.5× 138 1.8× 76 1.2× 31 440
Hojjat Asadollahpour Nanaei Iran 14 362 1.0× 84 0.6× 132 1.4× 88 1.1× 161 2.5× 35 540
Anurodh Sharma India 11 323 0.9× 114 0.8× 78 0.8× 41 0.5× 52 0.8× 30 369
Zezhao Wang China 15 399 1.1× 89 0.6× 171 1.8× 96 1.2× 90 1.4× 43 503
Mohsen Gholizadeh Iran 17 487 1.3× 156 1.1× 129 1.3× 130 1.7× 76 1.2× 61 578
Vikas Vohra India 12 296 0.8× 201 1.5× 36 0.4× 92 1.2× 60 0.9× 90 408
Daniel E. Goszczynski Argentina 12 284 0.8× 63 0.5× 54 0.6× 81 1.1× 137 2.1× 26 414
Slim Ben Jemaa Tunisia 13 316 0.9× 103 0.8× 70 0.7× 75 1.0× 32 0.5× 23 357
Mervi Honkatukia Finland 12 350 0.9× 57 0.4× 63 0.7× 237 3.1× 103 1.6× 27 543

Countries citing papers authored by Jayakumar Sivalingam

Since Specialization
Citations

This map shows the geographic impact of Jayakumar Sivalingam's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jayakumar Sivalingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayakumar Sivalingam more than expected).

Fields of papers citing papers by Jayakumar Sivalingam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jayakumar Sivalingam. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jayakumar Sivalingam. The network helps show where Jayakumar Sivalingam may publish in the future.

Co-authorship network of co-authors of Jayakumar Sivalingam

This figure shows the co-authorship network connecting the top 25 collaborators of Jayakumar Sivalingam. A scholar is included among the top collaborators of Jayakumar Sivalingam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jayakumar Sivalingam. Jayakumar Sivalingam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rajawat, Divya, Sonali Sonejita Nayak, Anurodh Sharma, et al.. (2024). Genome-wide mining of diversity and evolutionary signatures revealed selective hotspots in Indian Sahiwal cattle. Gene. 901. 148178–148178. 6 indexed citations
2.
Sivalingam, Jayakumar, et al.. (2023). Deep Learning in Neural Networks and their Application in Genomics. 5(7). 21–26. 1 indexed citations
3.
Sivalingam, Jayakumar, et al.. (2023). Genome-wide in silico analysis leads to identification of deleterious L290V mutation in RBBP5 gene in Bos indicus. Animal Biotechnology. 34(9). 4851–4859. 2 indexed citations
4.
5.
Das, Pranab Jyoti, et al.. (2022). Characterization of Arunachali Yak: A Roadmap for Pastoral Sustainability of Yaks in India. Sustainability. 14(19). 12655–12655. 4 indexed citations
6.
Onteru, Suneel Kumar, et al.. (2021). Profiling and integrated analysis of whole-transcriptome changes in uterine caruncles of pregnant and non-pregnant buffaloes. Genomics. 113(4). 2338–2349. 2 indexed citations
7.
Dixit, S. P., Indrajit Ganguly, Sanjeev Singh, et al.. (2021). Genome analyses revealed genetic admixture and selection signatures in Bos indicus. Scientific Reports. 11(1). 21924–21924. 23 indexed citations
8.
9.
Sivalingam, Jayakumar, Anshuman Kumar, S. K. Niranjan, et al.. (2019). Genome-wide discovery of SNPs in candidate genes related to production and fertility traits in Sahiwal cattle. Tropical Animal Health and Production. 52(4). 1707–1715. 29 indexed citations
10.
Sivalingam, Jayakumar, et al.. (2018). Feed resources and nutritional status of Malnad Gidda cows in the native tract of western Ghats of Karnataka: A case study. Range Management and Agroforestry. 39(1). 103–108.
11.
Dixit, S. P., et al.. (2015). Association of novel SNPs in the candidate genes affecting caprine milk fatty acids related to human health. Meta Gene. 4. 45–56. 11 indexed citations
12.
Sivalingam, Jayakumar, et al.. (2013). Nucleotide comparison of GDF9 gene in Indian Yak and Gaddi goat: high altitude livestock animals.. SHILAP Revista de lepidopterología. 2(6). 2452–2454. 1 indexed citations
13.
Sivalingam, Jayakumar, et al.. (2013). Dose dependent effect of 5-aza-cytidine on mRNA expression of DNA methyl transferases (DNMT1, DNMT3a and DNMT3b) and histone deacetylase (HDAC) in buffalo skin fibroblast cells. The Indian Journal of Animal Sciences. 83(9). 903–908. 1 indexed citations
14.
Ramesha, K. P., Jayakumar Sivalingam, Sandeep Das, et al.. (2012). Application of cattle microsatellite markers to assess genetic diversity of Indian yaks. The Indian Journal of Animal Sciences. 82(7). 3 indexed citations
15.
Sivalingam, Jayakumar, Avtar Singh, & V. Dinesh Kumar. (2012). Molecular characterization of SRY gene in Murrah buffaloes. LAP LAMBERT Academic Publishing eBooks. 1 indexed citations
16.
Ramesha, K. P., Jayakumar Sivalingam, Sandeep Das, et al.. (2012). Genetic Variation Of Sry Gene In Yak And Related Bovines. International Journal of Pharma and Bio Sciences. 3(2). 81–87. 1 indexed citations
17.
Krishnan, G., K. P. Ramesha, G. Kandeepan, V.S. Chouhan, & Jayakumar Sivalingam. (2010). Effect of seasonal variations on primary physiological responses of yak.. The Indian Journal of Animal Sciences. 80(3). 271–272. 3 indexed citations
18.
Ramesha, K. P., et al.. (2010). Phylogenetic studies on interbreedable bovine species including yak and mithun.. The Indian Journal of Animal Sciences. 80(2). 133–135. 1 indexed citations
19.
Ramesh, Kirti, et al.. (2010). Effect of environment on reproductive traits in yaks.. The Indian Journal of Animal Sciences. 80(2). 123–124. 2 indexed citations
20.
Ramesha, K. P., et al.. (2009). Genetic and phenotypic parameters of body weight traits in yak. The Indian Journal of Animal Sciences. 79(8). 836–837. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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